代码6-10
8、Adaboost
Classify.m
212B
TrainAndSave.m
606B
ionosphere.txt
75KB
main.m
1KB
@crossvalidation
CatFold.m
222B
GetFold.m
238B
crossvalidation.m
242B
Initialize.m
742B
@tree_node_w
get_dim_and_tr.m
1KB
tree_node_w.m
856B
do_learn_nu.m
4KB
train.m
3KB
calc_output.m
1KB
TranslateToC.m
452B
@stump_w
do_learn_nu.m
3KB
get_threshold_and_dim.m
96B
stump_w.m
182B
calc_output.m
299B
RealAdaBoost.m
1KB
6、贝叶斯学习
human.mat
428KB
background.mat
387KB
Bayes.m
2KB
randQ.m
662B
Bayes1.m
1KB
7、EM算法
main.m
3KB
EM_init_kmeans.m
486B
9、SVM方法
svmSim.m
2KB
svmTrain.m
3KB
SVM.m
1KB
kernel.m
633B
10、增强学习
qlearn.m
480B
global1.m
399B
global4.m
399B
main.m
604B
action_selector.m
422B
WS_FTP.LOG
1KB
global2.m
397B
pol_finder.m
341B
state_finder.m
450B
global3.m
399B
jump_learn.m
697B
暂无评论